Histological Type Research Articles

Surgical resection and overall survival in cT4b sinonasal non-squamous cell carcinoma.

Surgical resection is associated with higher overall survival (OS) than definitive radiotherapy (RT) or chemoradiotherapy (CRT) in cT4b sinonasal squamous cell carcinoma (SCC). Our study investigates the survival benefit of surgical resection in cT4b sinonasal non-SCC. The 2004 to 2019 National Cancer Database was queried for patients with cT4b sinonasal non-SCC undergoing definitive treatment with (1) surgical resection + additional therapy (RT, chemotherapy, or both), (2) RT alone, or (3) CRT. Surgical resection + additional therapy and definitive RT/CRT were compared with Kaplan-Meier and multivariable Cox regression models. Of 629 patients satisfying inclusion criteria, 513 (81.6%) underwent surgical resection + additional therapy and 116 (18.4%) underwent definitive RT/CRT. The most frequent histologic types were undifferentiated carcinoma (23.7%), adenoid cystic carcinoma (22.6%), and adenocarcinoma (20.7%). Few patients presented with clinical nodal metastasis (15.7%). There were 4 (0.8%) mortalities within 90 days of surgical resection. Patients undergoing surgical resection with positive surgical margins had higher 5-year OS than those undergoing definitive RT/CRT (56.3% vs. 39.4%, p = .039) and similar 5-year OS as those with negative margins (56.3% vs. 63.9%, p = .059). Patients undergoing neoadjuvant chemotherapy had similar 5-year OS as those undergoing definitive RT/CRT (60.9% vs. 39.5%, p = .053). Age at diagnosis, tumor diameter, and surgical resection + additional therapy (aHR 0.64, 95% CI 0.45-0.91) were associated with OS (p < .05). Surgical resection + additional therapy was associated with higher OS than definitive RT/CRT in cT4b sinonasal non-SCC. Surgical resection may benefit select patient with cT4b sinonasal non-SCC. 4.

Oncogenic mutations in the TP53 and PI-3 kinase/AKT pathway are independent predictors of survival for advanced thyroid cancer: Analysis from the Molecular Screening and Therapeutics (MoST) program

BackgroundThyroid cancers with mutations in the phosphatidylinositol-3 kinase/AKT pathway have a poorer prognosis. However, knowledge about the relationship between histology, mutation profile, and outcomes is still developing. This study assessed the prognostic value of genomic profiles for patients with advanced thyroid cancer who experienced progression on conventional treatment. MethodsPatients recruited to a national clinical oncology program for treatment-refractory locally advanced, recurrent or metastatic cancers were analyzed. Patients' archival tumor samples underwent comprehensive genomic profiling. Specific oncogenic mutations and the presence of cancer related pathways were correlated with overall survival. ResultsFrom 2018 to 2021, 4,955 patients were recruited, with 44 (0.9%) having a diagnosis of thyroid cancer with 4 medullary and the remaining follicular derived: 17 differentiated, 13 poorly differentiated, and 10 anaplastic thyroid cancers. Of the 40 follicular-derived thyroid cancer samples, 17 (42.5%) carried TP53 mutations, followed by 11 with BRAF V600E (27.5%), 9 with NRAS (22.5%), 9 with mutations in the phosphatidylinositol-3 kinase/AKT pathway (22.5%), and 7 with TERT promoter mutations (17.5%). Both TP53 and phosphatidylinositol-3 kinase/AKT pathway alterations were associated with reduced overall survival (hazard ratio, 5.19; 95% confidence interval, 1.59–16.70, P = .02 and hazard ratio, 10.12; 95% confidence interval, 1.61–63.76, P = .01). Cox regression showed histologic type anaplastic thyroid cancer (hazard ratio, 12.93, P = .004), poorly differentiated thyroid cancer (hazard ratio, 5.19, P = .039), and TP53 and/or phosphatidylinositol-3 kinase/AKT pathway mutations (hazard ratio, 4.73, P = .017) were independently associated with overall survival. ConclusionTP53 and/or phosphatidylinositol-3 kinase/AKT pathway mutations correlated with overall survival independently of histotype in patients with advanced thyroid cancer. Comprehensive genomic profiling has potential to inform prognosis, as well as identifying treatment targets for patients with advanced thyroid cancer.

Impact of Postoperative Chemotherapy on Survival in Patients with Primary Central Nervous System Lymphoma: A Study Based on the SEER Database.

Aims/Background We aimed to investigate the impact of postoperative chemotherapy (POCT) on survival in patients with primary central nervous system lymphoma (PCNSL) using data from the Surveillance, Epidemiology, and End Results (SEER) database. Methods This study included 786 PCNSL patients, of which 605 received chemotherapy after surgery, and 181 did not. Data from the SEER registry database (2007-2020) were used to analyze PCNSL. Baseline information, including age, sex, race, marital status, primary tumour site, histological type, summary stage, surgical procedures, chemotherapy, and radiotherapy, was analyzed. Propensity Score Matching (PSM) (1:1) was employed to balance the effects of confounding variables between the two groups. Subsequently, Cox regression and bidirectional stepwise regression were used to identify independent prognostic factors. Kaplan-Meier (K-M) survival curves were constructed to assess the impact of POCT on patient prognosis. Additionally, two cases of PCNSL with typical magnetic resonance imaging appearances were presented. Results Multivariate Cox regression results revealed that age older than 60 years (hazard ratio [HR] = 1.786; 95% confidence interval [CI]: 1.272-2.509; p = 0.001) and absence of POCT (HR = 2.841; 95% CI: 2.159-3.738; p < 0.001) were independent prognostic risk factors, while primary tumour locations in the meninges (HR = 0.136; 95% CI: 0.032-0.569; p = 0.006) and other nervous system regions (HR = 0.552; 95% CI: 0.326-0.936; p = 0.027), as well as histological morphologies such as diffuse large B-cell lymphoma (HR = 0.233; 95% CI: 0.128-0.425; p < 0.001) and non-Hodgkin lymphoma (HR = 0.559; 95% CI: 0.356-0.876; p = 0.011), were associated with favourable patient outcomes. K-M curves demonstrated that the group undergoing POCT had a significantly more favourable prognosis compared to the non-POCT group, before (HR = 0.454; 95% CI: 0.343-0.600; p < 0.0001) or after PSM (HR = 0.580; 95% CI: 0.431-0.780; p < 0.0001). For patients with PCNSL, those with tumours located in the infratentorial region (HR = 0.231; 95% CI: 0.078-0.682; p = 0.046), supratentorial region (HR = 0.250; 95% CI: 0.163-0.383; p < 0.0001), overlapping brain regions (HR = 0.201; 95% CI: 0.056-0.727; p = 0.0058), and those who underwent biopsy (HR = 0.740; 95% CI: 0.463-1.182; p = 0.003), subtotal resection (STR) (HR = 0.490; 95% CI: 0.265-0.906; p = 0.0064), or gross total resection (GTR) (HR = 0.613; 95% CI: 0.292-1.287; p = 0.0003) had better prognoses in the postoperative chemotherapy group compared to the non-chemotherapy group. Conclusion POCT significantly improves the prognosis of PCNSL patients and identifies the characteristics of the benefiting population. This information aids clinical practitioners in designing personalized treatment plans for individuals and advancing precise treatment.

Autophagy-associated biomarkers ULK2, UVRAG, and miRNAs miR-21, miR-126, and miR-374: Prognostic significance in glioma patients.

As the pioneering study from Pakistan, our research distinctly focuses on validating the roles of autophagy-associated genes and MicroRNAs (miRs) in the unique context of our population for glioma prognosis. The study delves into the nuanced interplay of autophagy within a miR-modulated environment, prompting an exploration of its potential impact on glioma development and survival. Employing real-time PCR (qPCR), we meticulously assessed the expression profiles of autophagy genes and miRs in glioma tissues, complemented by immunohistochemistry on Formalin-fixed paraffin-embedded tissues from the same patients. Our comprehensive statistical analyses, including the data normality hypothesis Shapiro-Wilk test, the Mann-Whitney U-test, Spearman correlation test, and Kaplan-Meier survival analysis, were tailored to unravel the intricate associations specific to low- and high-grade glioma within our population. Clinicopathological analysis revealed a predominance of male patients (66%) with a median age of 35 years. Glioblastoma (32%) and Astrocytoma (36%) were the most prevalent histopathological subtypes. Molecular analysis showed significant correlations between prognostic markers (Ki-67, IDH-1, p53) and clinicopathological factors, including age, histological type, radiotherapy, and chemotherapy. In high-grade glioma, increased expression of AKT and miR-21, coupled with reduced ULK2 and LC3 expression was distinctly observed. While correlation analysis identified a strong positive correlation between ULK2 and UVRAG, PTEN, miR-7, and miR-100 in low-grade glioma, unveiling distinctive molecular signatures unique to our study. Furthermore, a moderate positive correlation emerged between ULK2 and mTOR, miR-7, miR-30, miR-100, miR-204, and miR-374, also between miR-21 and miR-126. Similarly, a positive correlation appeared between ULK2 and AKT, LC3, PI3K, PTEN, ULK1, VPS34, mTOR, Beclin1, UVRAG, miR-7 and miR-374. AKT positively correlated with LC3, PI3K, PTEN, ULK1, VPS34, mTOR, Beclin1, UVRAG, miR-7, miR-30, miR-204, miR-374, miR-126 and miR-21 weakly correlated with AKT and miR-30 in high-grade glioma, providing further insights into the autophagy pathway within our population. The enrichment analysis for miR-21, miR-126, and miR-374 showed MAPK pathway as a common pathway along with Ras, PI3K, and mTOR pathway. The low ULK2, UVRAG, and miR-374 expression group exhibited significantly poor overall survival in glioma, while miR-21 over-expression indicated a poor prognosis in glioma patients, validating it in our population. This study provides comprehensive insights into the molecular landscape of gliomas, highlighting the dysregulation of autophagy genes ULK2, and UVRAG and the associated miR-21, miR-126 and miR-374 as potential prognostic biomarkers and emphasizing their unique significance in shaping survival outcomes in gliomas within the specific context of the Pakistani population.

Role of empirical antitubercular therapy for chronic mastitis—A prospective study

Objectives Chronic mastitis (CM) is an uncommon inflammatory condition of the breast, clinically mimicking malignancy with variable etiological factors. It often recurs, causing cosmetic disfigurement and hampering the quality of life of affected females. Limited literature reveals underlying bacterial infection as causative agents in a few cases, while the majority belong to idiopathic entities. CM can be seen as two histological types—chronic granulomatous mastitis (CGM) and chronic nonspecific inflammatory infiltrates (NGM). Etiological and ethnic variations exist globally, and there is lack of information from India. Understanding this entity is important for undertaking etiology-based therapy and preventing unnecessary mismanagement. Materials and Methods We evaluated the demographic, imaging profile and management protocol of CM patients presenting to a tertiary care center in India. Clinically suspected CM patients were prospectively evaluated by mammography and ultrasound (USG). USG-guided biopsy was performed for histopathological and microbiological analysis and treatment was administered accordingly. Response assessment was conducted at six months through USG and clinical evaluation. Results Out of the 53 clinically suspected CM patients, 48 biopsy-proven CM patients were enrolled (five breast carcinoma cases were excluded). All 48 patients were females, with a mean age of 36 ± 9 years. The most common symptom was a unilateral painful lump with skin discoloration. The etiology was idiopathic in 58.3% of cases, tuberculosis in 29%, and bacterial in 4%. Mammography revealed focal asymmetry, architectural distortion, and trabecular thickening. USG showed tracking fluid collections, microlobulated hypoechoic masses, and skin thickening. Etiology-based treatment was administered, and all patients showed 90–100% resolution between four and six months. Conclusion Mammography and USG are important for raising the suspicion while histopathology and microbiological analysis are mandatory for accurate treatment of CM. In India, idiopathic and tubercular etiology of CM is encountered and patients respond well to therapy.

Clinical Symptoms of Patients with Early-Stage and Advanced-Stage Ovarian Cancer

Background: Ovarian cancer is a malignant neoplasm originating from ovarian cells with different histological types depending on the subtype. It can affect women of all ages. Ovarian cancer ranks third in terms of incidence among diagnosed female cancer patients, following breast and cervical cancer. Ovarian cancer often doesn’t present specific/clear symptoms. As a result, only a small number of patients are diagnosed at an early stage (20%). The study aimed to analyze the clinical complaints experienced by ovarian cancer patients, both in early and advanced stages before diagnosis. Methods: This descriptive cross-sectional study analyzes clinical complaints before the diagnosis of early and advanced-stage ovarian cancer patients. The study was conducted in the Gynecology-Oncology inpatient ward at Dr. Soetomo Regional General Hospital in 2021, utilizing medical record data. Results: A total of 98 patients (21 patients with early-stage, and 77 patients with advanced-stage) were analyzed. The majority of the patients are aged 45-58 years (49%), work as homemakers (32.7%), and are married (63.3%). The three most common complaints experienced by subjects with early-stage ovarian cancer were abdominal/pelvic pain (23.8%), abdominal/pelvic pressure (28.6%), and abdominal distension (42.9%), while in patients with advanced-stage ovarian cancer were abdominal/ pelvic pain (32.7%), abdominal distension (42.9%), and abdominal discomfort (bloating, early satiety, feeling of fullness, frequent belching, heartburn, nausea and vomiting) (44.2%). Conclusions: The three most common clinical complaints among patients before being diagnosed with early and advanced-stage ovarian cancer in the inpatient ward of Dr. Soetomo Regional General Hospital Surabaya in 2021 were similar. The recognition of these complaints and several risk factors are expected to assist in the earlier diagnosis of ovarian cancer.

NCLN as a potential prognosis biomarker in endometrial cancer

Endometrial cancer (ECs) stands as one of the three major malignancies impacting females globally, with its incidence steadily increasing. ECs can be categorized into two types based on their clinicopathological features. Type I ECs typically exhibit low stage, favorable histological types, and low histological grade, correlating with a more favorable prognosis. Conversely, Type II ECs present with advanced-stage disease, aggressive behavior, and poorer histological types, resulting in a worse prognosis.The expression level of progesterone receptors (PR) holds significant importance in determining the prognosis of patients with ECs. Elevated levels of PR are linked to a more favorable prognosis, primarily attributed to progesterone's inhibitory influence on cancer cell proliferation and invasion. Moreover, progesterone promotes cell cycle inhibition through its regulation of PR, further contributing to improved outcomes in ECs.Nicalin (NCLN) plays a crucial role in facilitating the translocation of multichannel membrane proteins to the endoplasmic reticulum membrane and is implicated in embryonic development. Structurally akin to NODAL Modulator (NOMO), NCLN antagonizes NOMO during embryogenesis, forming a complex that antagonizes the Nodal pathway, thereby influencing mesoderm development. However, the precise relationship between NCLN and ECs remains incompletely understood.Our research findings reveal that NCLN actively stimulates the proliferation of ECs cells and exhibits a positive correlation with PR, albeit without impacting ER. Moreover, the expression levels of NCLN in ECs demonstrate associations with distinct histological types. These observations suggest that NCLN could emerge as a promising marker in the histological classification of ECs.

Distribution of lesions in psittacine birds naturally infected with parrot bornavirus in Japan.

Mononuclear cell infiltration of the central nervous system and ganglioneuritis are characteristic histopathological findings of proventricular dilatation disease (PDD) caused by parrot bornavirus (PaBV) infection. The purpose of this study was to clarify the link between the degree of inflammatory lesions and the distribution of the virus antigen in naturally PaBV-infected parrots. Pathological examination was performed on 18 PaBV-infected birds identified by reverse transcriptase-PCR. Dilatation of the crop, proventriculus, and ventriculus was observed in all 18 (100%) birds, and dilation of the right ventricle of the heart was observed in 14/18 (78%) birds. Cases were classified based on the scores for the distribution and degree of histological lesions into neural type, with severe brain lesions, digestive type, with severe gastric lesions, or nervous/digestive type, with severe lesions in both the brain and ventriculus. The PaBV immunohistological score correlated with the inflammatory lesion scores. Ganglioneuritis, myocarditis, and myocardial degeneration were frequently observed in the heart. Interestingly, macroscopic and microscopic lesions and virus antigen were detected in the hearts of all three histological types. The present study showed that parrots naturally infected with PaBVs can be grouped into three types based on the lesion distribution, and heart failure is an important symptom in PaBV-infected parrots.

Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data

ObjectiveDevelop a time-dependent deep learning model to accurately predict the prognosis of pediatric glioma patients, which can assist clinicians in making precise treatment decisions and reducing patient risk. Study designThe study involved pediatric glioma patients from the Surveillance, Epidemiology, and End Results (SEER) Registry (2000–2018) and Tangdu Hospital in China (2010–2018) within specific time frames. For training, we selected two neural network-based algorithms (DeepSurv, neural multi-task logistic regression [N-MTLR]) and one ensemble learning-based algorithm (random survival forest [RSF]). Additionally, a multivariable Cox proportional hazard (CoxPH) model was developed for comparison purposes. The SEER dataset was randomly divided into 80 % for training and 20 % for testing, while the Tangdu Hospital dataset served as an external validation cohort. Super-parameters were fine-tuned through 1000 repeated random searches and 5-fold cross-validation on the training cohort. Model performance was assessed using the concordance index (C-index), Brier score, and Integrated Brier Score (IBS). Furthermore, the accuracy of predicting survival at 1, 3, and 5 years was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and the area under the ROC curves (AUC). The generalization ability of the model was assessed using the C-index of the Tangdu Hospital data, ROC curves for 1, 3, and 5 years, and AUC values. Lastly, decision curve analysis (DCA) curves for 1, 3, and 5-year time frames are provided to assess the net benefits across different models. ResultsA total of 9532 patients with pediatric glioma were included in this study, comprising 9274 patients from the SEER database and 258 patients from Tangdu Hospital in China. The average age at diagnosis was 9.4 ± 6.2 years, and the average survival time was 96 ± 66 months. Through comprehensive performance comparison, the DeepSurv model demonstrated the highest effectiveness, with a C-index of 0.881 on the training cohort. Furthermore, it exhibited excellent accuracy in predicting the 1-year, 3-year, and 5-year survival rates (AUC: 0.903–0.939). Notably, the DeepSurv model also achieved remarkable performance and accuracy on the Chinese dataset (C-index: 0.782, AUC: 0.761–0.852). Comprehensive analysis of DeepSurv, N-MTLR, and RSF revealed that tumor stage, radiotherapy, histological type, tumor size, chemotherapy, age, and surgical method are all significant factors influencing the prognosis of pediatric glioma. Finally, an online version of the pediatric glioma survival predictor based on the DeepSurv model has been established and can be accessed through https://pediatricglioma-tangdu.streamlit.app. ConclusionsThe DeepSurv model exhibits exceptional efficacy in predicting the survival of pediatric glioma patients, demonstrating strong performance in discrimination, calibration, stability, and generalization. By utilizing the online version of the pediatric glioma survival predictor, which is based on the DeepSurv model, clinicians can accurately predict patient survival and offer personalized treatment options.

Development and validation of a prognostic nomogram for predicting liver metastasis in thyroid cancer: a study based on the surveillance, epidemiology, and end results database

This study aimed to create a prognostic nomogram to predict the risk of liver metastasis (LM) in thyroid cancer (TC) patients and assess survival outcomes for those with LM. Data were collected from the SEER database, covering TC patients from 2010 to 2020, totaling 110,039 individuals, including 142 with LM. Logistic regression and stepwise regression based on the Akaike information criterion (AIC) identified significant factors influencing LM occurrence: age, histological type, tumor size, bone metastasis, lung metastasis, and T stage (p < 0.05). A nomogram was constructed using these factors, achieving a Cindex of 0.977, with ROC curve analysis showing an area under the curve (AUC) of 0.977. For patients with TCLM, follicular TC, medullary TC, papillary TC, and examined regional nodes were associated with better prognosis (p < 0.001, HR < 1), while concurrent brain metastasis indicated poorer outcomes (HR = 2.747, p = 0.037). In conclusion, this nomogram effectively predicts LM risk and evaluates prognosis for TCLM patients, aiding clinicians in personalized treatment decisions

A Five-Year Survival Analysis of Patients with Gastric Cancer in Kerman Province

Purpose: Gastric Adenocarcinoma (GAC) is the second most frequent cause of cancer-related deaths worldwide. Determining survival and its associated prognostic factors provides a basis for further interventions to prolong survival among patients with GAC. In this study, we aimed to perform a 5-year survival analysis among GAC patients in Kerman, Iran. Materials and Methods: This retrospective multi-centric study was conducted on all patients with GAC who were referred to Afzalipour, Bahonar, and Shafa Hospitals in Kerman, Iran in 2009-2019. The 5-year survival rates were calculated based on prognostic factors, including age, histopathology, stage/grade of the tumor, metastatic status, and surgical procedures using the Kaplan-Meier analysis and log-rank test. Results: The 5-year survival rate of GAC patients with total gastrectomy was higher than those with subtotal gastrectomy (P = 0.03). Also, the 5-year survival rate was substantially improved after lymph node dissection (P &lt; 0.001). Overall survival has not been significantly different in terms of age, sex, grade, histological type, clinical T stage, lymphovascular invasion, and perineural invasion. Conclusion: Overall survival was different for the two surgical procedures and lymph node dissection. Therefore, total gastrectomy and lymph node dissection are significant independent prognostic factors for overall survival in patients with GAC.

Prediction of High Nodal Burden in Patients With Sentinel Node–Positive Luminal ERBB2-Negative Breast Cancer

In patients with clinically node-negative (cN0) breast cancer and 1 or 2 sentinel lymph node (SLN) macrometastases, omitting completion axillary lymph node dissection (CALND) is standard. High nodal burden (≥4 axillary nodal metastases) is an indication for intensified treatment in luminal breast cancer; hence, abstaining from CALND may result in undertreatment. To develop a prediction model for high nodal burden in luminal ERBB2-negative breast cancer (all histologic types and lobular breast cancer separately) without CALND. The prospective Sentinel Node Biopsy in Breast Cancer: Omission of Axillary Clearance After Macrometastases (SENOMAC) trial randomized patients 1:1 to CALND or its omission from January 2015 to December 2021 among adult patients with cN0 T1-T3 breast cancer and 1 or 2 SLN macrometastases across 5 European countries. The cohort was randomly split into training (80%) and test (20%) sets, with equal proportions of high nodal burden. Prediction models were developed by multivariable logistic regression in the complete luminal ERBB2-negative cohort and a lobular breast cancer subgroup. Nomograms were constructed. The present diagnostic/prognostic study presents the results of a prespecified secondary analysis of the SENOMAC trial. Herein, only patients with luminal ERBB2-negative tumors assigned to CALND were selected. Data analysis for this article took place from June 2023 to April 2024. Predictors of high nodal burden. High nodal burden was defined as ≥4 axillary nodal metastases. The luminal prediction model was evaluated regarding discrimination and calibration. Of 1010 patients (median [range] age, 61 [34-90] years; 1006 [99.6%] female and 4 [0.4%] male), 138 (13.7%) had a high nodal burden and 212 (21.0%) had lobular breast cancer. The model in the training set (n = 804) included number of SLN macrometastases, presence of SLN micrometastases, SLN ratio, presence of SLN extracapsular extension, and tumor size (not included in lobular subgroup). Upon validation in the test set (n = 201), the area under the receiver operating characteristic curve (AUC) was 0.74 (95% CI, 0.62-0.85) and the calibration was satisfactory. At a sensitivity threshold of ≥80%, all but 5 low-risk patients were correctly classified corresponding to a negative predictive value of 94%. The prediction model for the lobular subgroup reached an AUC of 0.74 (95% CI, 0.66-0.83). The predictive models and nomograms may facilitate systemic treatment decisions without exposing patients to the risk of arm morbidity due to CALND. External validation is needed. ClinicalTrials.gov Identifier: NCT02240472.

Beyond the WHO 2020 Classification of Female Genital Tumors: Types of Endometrial Cancer: A Pathological and Molecular Focus on Challenging Rare Variants.

Endometrial carcinoma is a heterogeneous group of malignancies characterized by distinct histopathological features and genetic underpinnings. The 2020 WHO classification has provided a comprehensive framework for the categorization of endometrial carcinoma. However, it has not fully addressed the spectrum of uncommon entities that are currently not recognized by the 2020 WHO and have only been described in the form of small case series and case reports. These neoplasms represent a real diagnostic challenge for pathologists; furthermore, their therapeutic management still remains controversial and information regarding tumor prognosis is very limited. This review aims to elucidate these lesser-known variants of endometrial carcinoma. We discuss the challenges of identifying these rare subtypes and the molecular alterations associated with them. Furthermore, we propose the need for expanded classification systems that include these variants to enhance clinical outcomes and research efforts. We believe that a better histological typing characterization of these entities may lead to more reproducible and accurate diagnoses and more personalized treatments. By raising awareness of these rare entities, we also hope to encourage further investigation and integration into clinical practice to improve patient care in endometrial carcinoma.

Oncological outcomes of stage I–II breast cancer treatment after subcutaneous/skin-sparing mastectomies with reconstruction

Aim. To study the recurrence of stage I–II breast cancer after subcutaneous/skin-sparing mastectomies with reconstruction with or without radiation therapy. Materials and methods. From 2013 to 2022, 984 patients diagnosed with breast cancer underwent 1020 subcutaneous/skin-sparing mastectomies with reconstruction at the P.A. Herzen Moscow State Medical Institute. Histological types are presented: cancer in situ – 7, invasive cancer without signs of specificity – 818, invasive lobular cancer – 105, combined cancer – 40, rare forms – 50. Subcutaneous mastectomy with reconstruction was performed in 617 (60.5 %), skin-sparing mastectomy in 403 (39.5 %) cases. Reconstruction with own tissues was performed in 5.7 %, expanders/implants in 94.3 % of patients. Patients with diagnosed mutations in the genes ВRCА1, 2, СНЕК2 amounted to 208 (21.1 %), while among patients with primary multiple synchronous cancer, the percentage with mutations was 25 %. Results. In the studied group of patients, recurrence of breast cancer was diagnosed in 40 (4.1 ± 0.1 %) cases, distant metastases – in 52 (5.3 ± 0.1 %) cases. The minimum time to relapse was 36 months, and the maximum was 108 months. In a single-factor analysis of the stage of the disease: at stage I, relapse was diagnosed in 25 (5.8 %) cases, at stage IIA (T2N0M0) – in 5 (2.0 %), at stage IIA (T1N1M0) – in 6 (4.2 %), at stage IIB T2N1M0 – in 4 (2.1 %) (p &gt; 0.05). The recurrence in the group with radiation therapy was 2.5 ± 0.6 (odd ratio 0.98, 95 % confidential interval 1.52–3.48), without radiation therapy 5.1 % (odd ratio 2.13, 95 % confidential interval 0.92–5.18) regardless of the stage of breast cancer (t-criterion &gt;2, p &gt; 0.05). In our study, the recurrence of breast cancer at the edge of R1 was 6.8 ± 2.5 %, at R0 – 3 ± 0.6 % (p &gt; 0.05). When analyzing age and risk of recurrence, we did not identify age dependence, up to 40 years the probability of recurrence is 4.3 ± 1 %, after 40 years – 3.3 ± 0.7 % (t-criterion 0.44, p &gt; 0.05). The dependence of the degree of malignancy of the tumor node and the frequency of recurrence is as follows: G1 – 2. 3 ± 2.3 %, G2 – 3 ± 0.7 %, G3 – 3.9 ± 1 %, when compared G3 c G1 (t-criterion 0.52, p&gt;0.05), when comparing G3 from G2 (t-criterion 0.49, p &gt; 0.05). Recurrence of breast cancer with triple negative type was diagnosed in 2.5 ± 0.9 % relative to other molecular biological types (t-criterion 1.49, p &gt; 0.05). We analyzed the dependence of relapse on the non-luminal and luminal HER2 positive types; the relapse was 5.4 ± 1.5 % (p &gt; 0.05); the dependence on the level of Ki-67; at a level of 40 %, the probability of recurrence is 4 ± 0.8 %, at a level &gt; 40 %, recurrence is 2 ± 0.8 % (t-criterion 1.77, p &gt; 0.05). A statistically significant difference in our study was revealed, in addition to radiation therapy, during neoadjuvant polychemotherapy, so in the group with neoadjuvant polychemotherapy, the recurrence was 2 ± 0.8 %, without neoadjuvant polychemotherapy – 4.1 ± 0.7 % (t-criterion 2.16, р &lt; 0.05). Conclusion. A link between breast cancer recurrence and morphological features (R1 resection margin, lymphovascular invasion, lymphatic tumor emboli, luminal and non-luminal HER2+ subtype, G3) and clinical characteristics (presence of mutations, location of a lesion in the gland, stages) was found. Further search for predictors of breast cancer recurrence after combination or integrated treatment is necessary.

Clinical and epidemiological profile of patients with ovarian cancer

The objective of this study was to describe the profile of patients with ovarian cancer from 2015 to 2019 in Montes Claros, Minas Gerais State, Brazil. This is a descriptive study with a quantitative approach using data from patients living in Montes Claros, Minas Gerais, Brazil, with a diagnosis of ovarian cancer in the hospital records of the José Alencar Gomes da Silva National Cancer Institute. 312 cases of ovarian cancer were identified in Montes Claros, Minas Gerais. Regarding sociodemographic variables, most women were between 35 and 59 years old (44.9%), 26 patients (29.8%) denied the use of tobacco or tobacco products, 64.3% of the patients were former consumers and 5 (5.9%) were active consumers. 195 patients (79.3%) had a positive family history of cancer, the combined use of tobacco and alcohol was recorded among 83.4 of the population, the detailed primary location of the neoplasm was in the ovary itself in 161 (51.7%) of the cases. Regarding the histological type of the neoplasms, squamous cell carcinoma was found in 303 records (97.4%) and in relation to the TNM staging, most referred to others (53.6%), followed by A4 (46.4%). The data indicate an advanced picture of the disease in this population and suggest that more effective health education and control measures should be implemented.

Application of the 5th WHO Guidelines for the Diagnosis of Lung Carcinoma in Small Lung Biopsies in a Tertiary Care Center: Is Insecurity of Pathologists for the Accurate Diagnosis Justified?

The diagnosis of lung carcinoma (LC) is currently performed in small biopsies and according to the WHO classification by using limited stains to spare tissue for molecular testing. This procedure, however, often causes diagnostic uncertainty among pathologists. In this retrospective analysis, we compared the diagnosis made by these guidelines in 288 lung biopsies with that using more stains, as retrieved from our archive. We also compared the results of p63 and p40 immunoexpression and investigated the diagnostic role of p53/Rb1. In our investigation, we reached a definite diagnosis with a mean number of one stain compared with six stains in the original diagnostic procedure, with a 97.3% concordance rate. Only in the case of metastases, a clear advantage is proven in the use of more stains, especially in the absence of clinical information. We also found a comparable utility of p40 and p63 for the diagnosis of squamous cell carcinoma, despite the higher p63 expression in other histological types. Moreover, normal p53/Rb1 expression could be utilized for the exclusion of small-cell LC. Our study confirms the diagnostic certainty achieved by the suggestions of the WHO classification and justifies the potential insecurity in the absence of adequate communication with the treating clinician.

Expression of Ki-67 in Invasive Breast Carcinoma and Its Correlation With Different Clinicopathological Features.

Introduction Worldwide, breast cancer is still the most common cancer that affects women. Breastcancer prognosis is based on a number of clinical and pathological indicators. Further features are needed to predict early metastasis andprognosis of patients with breast carcinoma, as the current pathological characteristics, such as tumor differentiation, vascular infiltration, and TNM (tumor, node, and metastasis) staging, cannot fully describe the early metastatic biological behavior in breast carcinoma. High Ki-67 expression is seen to be associated with worse survival in cancer patients. Hence, this study was conducted to study the utility of Ki-67as a prognostic marker in invasive breast carcinoma and its association with known clinicopathological factors. Methodology The study was a hospital-based cross-sectional study carried out in the Histopathology Section of the Department of Pathology, Shri BM Patil Medical CollegeHospital and Research Centre, Bijapur Lingayat District Education (BLDE) (Deemed to be University), Vijayapura. The study was conducted between September 1, 2022, and April 30, 2024. The study population consisted of 55 cases of mastectomy specimens of primary breast cancer admitted to our hospital. Data regarding the patient's age, tumor size, histological type, histological grade, lymph node status, and vascular invasion were noted from medical records. Immunohistochemical staining for estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2/neu (HER2/neu) proto-oncogene, and Ki-67 markers was performed according to standard protocol. The relationship of Ki-67with these clinicopathological parameters was analyzed statistically. Results In the current study, high-grade Ki-67 nuclear positivity was seen in 30 cases out of 55 cases, and low-grade Ki-67 was seen in the remaining 25 cases. The association of Ki-67 with tumor size and histological grade showed statistical significancewith a p-value of less than 0.05 and 0.001, respectively. However, no statistical significance was seen with lymph node status, vascular invasion, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2/neu (HER2/neu)proto-oncogene status with p-values greater than 0.05. Conclusion The expression of Ki-67 was statistically significant with histological grading and tumor size in our study. Immunohistochemical determination of the Ki-67 proliferation index should be performed in routine cases of breast cancerto obtain clinically useful information on tumor aggressiveness as reflected in their proliferative rate. Hence, Ki-67 can be used as a predictive and prognostic marker in managing breast cancer patients.

Predictive models and treatment efficacy for liver cancer patients with bone metastases: A comprehensive analysis of prognostic factors and nomogram development

BackgroundBone metastasis considerably undermines the prognosis of advanced primary liver cancer patients. Though its impact is well-recognized, the clinical field still lacks robust predictive models that can accurately forecast patient outcomes and aid in treatment effectiveness evaluation. Addressing this gap is paramount for improving patient management and survival. Materials and methodsWe conducted an extensive analysis using data from the SEER database (2010–2020). COX regression analysis was applied to identify prognostic factors for primary liver cancer with bone metastasis (PLCBM). Nomograms were developed and validated to predict survival outcomes in PLCBM patients. Additionally, propensity score matching and Kaplan-Meier survival analyses lent additional insight by dissecting the survival advantage conferred by various treatment strategies. ResultsA total of 470 patients with PLCBM were included in our study. The median overall survival (OS) and cancer-specific survival (CSS) for these patients were both 5 months. We unveiled several independent prognosticators for OS and CSS, spanning demographic to therapeutic parameters like marital status, cancer grade, histological type, and treatments received. This discovery enabled the formulation of two novel nomograms—now verified to eclipse the predictive prowess of the traditional TNM staging system regarding discrimination and clinical utility. Additionally, propensity score matching analysis showed the effectiveness of surgeries, radiotherapy, and chemotherapy in improving OS and CSS outcomes for PLCBM patients. ConclusionsOur investigation stands out by introducing pioneering nomograms for prognostic evaluation in PLCBM, a leap forward compared to existing tools. Far exceeding mere academic exercise, these nomograms hold immense clinical value, serving as a foundation for nuanced risk stratification systems and delivering dynamic, interactive guides, allowing healthcare professionals and patients to assess individual bone metastasis survival probabilities and personalize treatment selection.

Efficacy of chemotherapy for patients with gastric cancer with early recurrence during or after adjuvant chemotherapy with S-1 alone: a multicenter retrospective study

This study aimed to survey the efficacy of chemotherapy regimens in the real world setting and explore the most promising regimen for patients experiencing early recurrence for gastric cancer. We retrospectively reviewed the clinical course of 207 patients with gastric cancer, who developed early recurrence during or within 6 months after completing S-1 adjuvant therapy at 19 Japanese institutions between 2012 and 2016. The treatment regimens after recurrence were fluoropyrimidines plus platinum-based regimens (FP) in 91 (44%) patients, paclitaxel-based regimens (PTX) in 102 (49%), and irinotecan-based regimens (IRI) in 14 (7%). The overall response and disease control rates were 28.7% and 54.1%. Median progression-free survival (PFS) and overall survival (OS) were 5.1 and 12.9 months, respectively. In the FP, PTX, and IRI regimens, the median PFS and OS were 5.9, 4.1, 4.1 months and 12.8, 12.9, and 11.8 months, respectively. The combination of PTX and ramucirumab showed survival comparable to capecitabine plus platinum. Multivariate analyses for OS showed that recurrence during adjuvant chemotherapy and undifferentiated histological type were independent poor prognostic factors. Although the prognosis of patients with early recurrence even with adjuvant S-1 was poor, PTX plus ramucirumab therapy could be a potential treatment option.

P53 Immunohistochemistry staining patterns and prognosis significance in 212 cases of non-endometrioid endometrial cancer

ObjectiveTo investigate the immunohistochemistry (IHC) staining pattern and prognostic significance of p53 in non-endometrioid endometrial cancer (non-EEC). MethodsThis study retrospectively included 212 non-EEC patients, with histological types including serous carcinoma (SC), clear cell carcinoma (CCC), mixed carcinoma (MC), undifferentiated carcinoma (UC), and carcinosarcoma (CS). p53 IHC was interpreted as normal/wild-type and abnormal/mutant-type, the latter including overexpression, complete absence, and cytoplasmic staining patterns. Moreover, uncommon p53 subclonal/heterogeneous staining patterns were described. Disease-free survival (DFS) and overall survival (OS) were employed as endpoints to evaluate the prognostic significance of p53. ResultsIn 212 non-EEC cases, 50 (23.6 %) were p53 wild-type, while 162 (76.4 %) displayed abnormal p53 staining. Overexpression was the predominant abnormal p53 staining pattern (122/162), complete absence followed (33/162). All SCs exhibited the mutant p53 staining pattern. The p53 abnormal expression rates in CCC, MC, UC, and CS were 37.5 %, 78.9 %, 35.7 %, and 75.7 %, respectively. Interestingly, of the 12 MC cases with SC components, barring one with p53 subclonal staining, all showed the mutant-type staining. The concordance rate for p53 expression between epithelial and mesenchymal components of CS was 94.3 % (66/70). Kaplan-Meier curves indicated patients with p53 abnormalities had worse DFS compared to those with wild-type p53 (P=0.025). Multivariate Cox regression confirmed that p53 (HR: 2.270, 95 % CI: 1.124–4.586, P=0.022) independently predicted DFS in non-EEC patients, though not for OS. ConclusionsNon-EEC patients with various histological types exhibit different p53 staining patterns. However, abnormal p53 expression, regardless of histological type, implies a poor DFS in non-EEC patients.